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Foveal

About: Foveal is a research topic. Over the lifetime, 2652 publications have been published within this topic receiving 94120 citations.


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Book ChapterDOI
TL;DR: Foveal pursuit during purely visual and combined visual-vestibular stimulus paradigms is discussed, presumably of pure vestibular origin and can be estimated as the vestibulo-ocular reflex in the dark.
Abstract: Publisher Summary Smooth pursuit eye movements incorporate at least three well-known types of eye movements: (1) Foveal pursuit, with the goal of keeping the visual projection of a small moving target continuously on the center of the fovea, as first described by Dodge (1903). (2) Schau-nystagmus (look nystagmus), in this case the subject deliberately “fixates” an object as a part of the visual world that is moving relative to the unaccelerated head. (3) Compensatory eye movements, which are known as vestibulo-ocular reflex (VOR) in the light, they manifest the attempt to “fixate” a stationary target while the head performs rotatory or translatory movements. The largest contribution to the neural control of these compensatory eye movements is presumably of pure vestibular origin and can be estimated as the vestibulo-ocular reflex in the dark. Various types of special pursuit eye movement can only be induced under certain laboratory conditions. This chapter discusses on foveal pursuit during purely visual and combined visual-vestibular stimulus paradigms.

63 citations

Journal ArticleDOI
TL;DR: The effects of cue eccentricity and cue-target distance on reaction time are discussed in terms of their effects on the component processes that comprise the act of a shift of attention.

63 citations

Journal ArticleDOI
Dirk Kerzel1
TL;DR: To disentangle factors, target and distractor were presented in the periphery, and fixation was monitored, and a bias away from the distractor occurred when the distraction was briefly presented during the retention interval, or when it was visible throughout the trial.

62 citations

Journal ArticleDOI
TL;DR: A dual-task noise classification technique is developed that enables identification of the information uptake for foveal analysis and peripheral selection within a single fixation, and provides important theoretical constraints on how to model target selection in conjunction withfoveal object identification: in parallel and independently.
Abstract: Human vision is an active process in which information is sampled during brief periods of stable fixation in between gaze shifts. Foveal analysis serves to identify the currently fixated object and has to be coordinated with a peripheral selection process of the next fixation location. Models of visual search and scene perception typically focus on the latter, without considering foveal processing requirements. We developed a dual-task noise classification technique that enables identification of the information uptake for foveal analysis and peripheral selection within a single fixation. Human observers had to use foveal vision to extract visual feature information (orientation) from different locations for a psychophysical comparison. The selection of to-be-fixated locations was guided by a different feature (luminance contrast). We inserted noise in both visual features and identified the uptake of information by looking at correlations between the noise at different points in time and behavior. Our data show that foveal analysis and peripheral selection proceeded completely in parallel. Peripheral processing stopped some time before the onset of an eye movement, but foveal analysis continued during this period. Variations in the difficulty of foveal processing did not influence the uptake of peripheral information and the efficacy of peripheral selection, suggesting that foveal analysis and peripheral selection operated independently. These results provide important theoretical constraints on how to model target selection in conjunction with foveal object identification: in parallel and independently.

62 citations

Journal ArticleDOI
TL;DR: From the results, a single equation is developed which predicts orientation discrimination thresholds for an average observer over a range of different eccentricities and line lengths.

62 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023144
2022385
202195
2020119
2019108
201883